Pending
Methods and systems of analysis of phosphorus release and management in a water body
Advanced biogeochemical analyses to predict when and how much phosphorus your sediments will release in order to optimize treatments.
Sequential extraction can quantify potentially bioavailable sediment phosphorus, but it leaves managers with large uncertainty about how much of that pool will actually mobilize and when, especially as conditions like anoxia, temperature, and pH shift sediments from phosphorus sinks to sources once iron, aluminum, and calcium binding sites approach supersaturation. This patent describes a predictive model and system that ingest water-body data (depth, area, Osgood stratification index, pH) and sediment data (bulk density, porosity, organic matter, extraction fractions) and compute coefficients such as a sediment expansion coefficient, iron stripping coefficient, and oxygen depletion index. These feed redox and organic-phosphorus release indices that estimate fractional internal loading over defined timeframes, refined by machine learning against measured release and used to forecast treatment efficacy, including aluminum binding doses against threshold values.




